This chapter introduces non-computational scientists to the general field of machine learning and its methods. The chapter begins by outlining the common structure of machine learning applications, and then it highlights some of the most effective machine learning methods. Then there is a discussion of a case study at the intersection of machine learning and epidemiology: Google Flu Tends. At the end of the chapter there are steps given on how to begin creating practical machine learning algorithms for population health. In so doing this chapter sets the stage for the reader to become familiar with machine modeling as a tool for population health.
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